Kevin Feigelis

Computer Science · Physical Sciences

3h-index144citations10works0.02yr avg
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Research Topics

Generative Adversarial Networks and Image Synthesis(3), Time Series Analysis and Forecasting(3), Reinforcement Learning in Robotics(2), Advanced Memory and Neural Computing(2), Neural dynamics and brain function(2)

Publications10 total

World Modeling with Probabilistic Structure Integration
arXiv (Cornell University)·2025Open Access
Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals
arXiv (Cornell University)·2025Open Access
Understanding Physical Dynamics with Counterfactual World Modeling
Lecture notes in computer science·2024
Understanding Physical Dynamics with Counterfactual World Modeling
arXiv (Cornell University)·2023Open Access
Unifying (Machine) Vision via Counterfactual World Modeling
arXiv (Cornell University)·2023· 9 citedOpen Access
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
arXiv (Cornell University)·2020· 129 citedOpen Access
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
arXiv (Cornell University)·2020· 5 citedOpen Access
Flexible and Efficient Long-Range Planning Through Curious Exploration
arXiv (Cornell University)·2020· 1 citedOpen Access
Modular Continual Learning in a Unified Visual Environment
arXiv (Cornell University)·2017Open Access
A Useful Motif for Flexible Task Learning in an Embodied Two-Dimensional Visual Environment
arXiv (Cornell University)·2017Open Access

Frequent Co-authors

Daniel Yamins(9), Daniel M. Bear(5), Rahul Venkatesh(5), Honglin Chen(4), Wanhee Lee(4), Klemen Kotar(4), Aidan Curtis(3), Khaled Jedoui(3), Chuang Gan(2), J. Schwartz(2), Seth Alter(2), Martin Schrimpf(2), James Traer(2), Julian De Freitas(2), Jonas Kubilius(2), Abhishek Bhandwaldar(2), Nick Haber(2), Megumi Sano(2), Kuno Kim(2), Elias Wang(2)